Text Classification
Transformers
PyTorch
Spanish
roberta
Inference Endpoints
dariolopez commited on
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Update README.md

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@@ -5,7 +5,7 @@ metrics:
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  - f1
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  pipeline_tag: text-classification
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  datasets:
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- - dariolopez/suicide-comments-es
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  license: apache-2.0
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  ---
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@@ -20,7 +20,7 @@ This model is a fine-tuned version of [PlanTL-GOB-ES/roberta-base-bne](https://h
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  >>> from transformers import pipeline
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- >>> model_name= 'dariolopez/roberta-base-bne-finetuned-suicide-es'
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  >>> pipe = pipeline("text-classification", model=model_name)
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  >>> pipe("Quiero acabar con todo. No merece la pena vivir.")
@@ -39,7 +39,7 @@ The dataset consists of comments on Reddit, Twitter, and inputs/outputs of the A
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  The dataset has 10050 rows (777 considered as Suicidal Ideation/Behavior and 9273 considered Non-Suicidal).
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- More info: https://huggingface.co/datasets/dariolopez/suicide-comments-es
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  ## Training procedure
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  - f1
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  pipeline_tag: text-classification
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  datasets:
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+ - hackathon-somos-nlp-2023/suicide-comments-es
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  license: apache-2.0
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  ---
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  >>> from transformers import pipeline
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+ >>> model_name= 'hackathon-somos-nlp-2023/roberta-base-bne-finetuned-suicide-es'
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  >>> pipe = pipeline("text-classification", model=model_name)
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  >>> pipe("Quiero acabar con todo. No merece la pena vivir.")
 
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  The dataset has 10050 rows (777 considered as Suicidal Ideation/Behavior and 9273 considered Non-Suicidal).
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+ More info: https://huggingface.co/datasets/hackathon-somos-nlp-2023/suicide-comments-es
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  ## Training procedure
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